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Nat Biotechnol. 2016 Jan;34(1):47-54. doi: 10.1038/nbt.3367. Epub 2015 Nov 30.

Mapping the effects of drugs on the immune system.

Author information

1
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
2
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
3
Department of Biomedical Informatics, Systems Biology and Medicine, Columbia University Medical Center, New York, New York, USA.
4
Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
5
Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
6
Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Abstract

Understanding how drugs affect the immune system has consequences for treating disease and minimizing unwanted side effects. Here we present an integrative computational approach for predicting interactions between drugs and immune cells in a system-wide manner. The approach matches gene sets between transcriptional signatures to determine their similarity. We apply the method to model the interactions between 1,309 drugs and 221 immune cell types and predict 69,995 interactions. The resulting immune-cell pharmacology map is used to predict how five drugs influence four immune cell types in humans and mice. To validate the predictions, we analyzed patient records and examined cell population changes from in vivo experiments. Our method offers a tool for screening thousands of interactions to identify relationships between drugs and the immune system.

PMID:
26619012
PMCID:
PMC4706827
DOI:
10.1038/nbt.3367
[Indexed for MEDLINE]
Free PMC Article

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